Feature Selection and Classification of Intrusion Detection System Using Rough Set

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Provided by: Interscience Open Access Journals
Topic: Security
Format: PDF
With the expansion of computer network there is a challenge to compete with the intruders who can easily break into the system. So it becomes a necessity to device systems or algorithms that can not only detect intrusion but can also improve the detection rate. In this paper the authors propose an intrusion detection system that uses rough set theory for feature selection, which is extraction of relevant attributes from the entire set of attributes describing a data packet and used the same theory to classify the packet if it is normal or an attack.
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